On the road to per cent accuracy IV: ReACT – computing the non-linear power spectrum beyond ΛCDM
Year: 2020
Type: article
Abstract: ABSTRACT To effectively exploit large-scale structure surveys, we depend on accurate and reliable predictions of non-linear cosmological structure formation. Tools for efficient and comprehensive computational modelling are therefore essential to perform cosmological parameter inference analyses. We present the public software package ReACT, demonstrating its capability for the fast and accurate calculation of non-linear power spectra from non-standard physics. We showcase ReACT through a series of analyses on the DGP and f(R) gravity models, adopting LSST-like cosmic shear power spectra. Accurate non-linear modelling with ReACT has the potential to more than double LSST’s constraining power on the f(R) parameter, in contrast to an analysis that is limited to the quasi-linear regime. We find that ReACT is sufficiently robust for the inference of consistent constraints on theories beyond ΛCDM for current and ongoing surveys. With further improvement, particularly in terms of the accuracy of the non-linear ΛCDM power spectrum, ReACT can, in principle, meet the accuracy requirements for future surveys such as Euclid and LSST.
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Funders: National Science Foundation, Alexander von Humboldt-Stiftung, Department for Business, Energy and Industrial Strategy, UK Government, Durham University, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Bundesministerium für Bildung und Forschung, Max-Planck-Gesellschaft, Science and Technology Facilities Council, European Research Council
Awards: G1468651527, Hearing and Feeling in the Dark: How to Shed Light on the Dark Sector with Gravitational Waves and Large-Scale Structure, DiRAC-2.5 - the pathway to DiRAC Phase 3, G2309215924, G2368581224, G2724489712, G2843074508, G3403823835, G4251892262, G5223700258, DiRAC-2.5 DC - Operations 2017-2020, G6537386148, G6873874887, DiRAC: Memory Intensive 2.5y, DiRAC: Memory Intensive 2.5x
OpenAlex ID: W3027379239